Simulated-Scenario and Peer-Mentorship Curriculum to Train Prehospital Providers in the Practice of Mass Gathering Medicine

Objective: A mass gathering medicine training program was established for a 7,200-seat arena. The objectives of this study were to describe the program schema and determine its impact in preparing novice emergency medical technicians (EMTs) to manage the difficulties of large-venue emergency medical services (EMS). Methods: Optional, anonymous surveys were administered to EMTs. Novice EMTs were assessed pre-/post-program implementation, and both novice and experienced EMTs completed self-reported Likert scales. Data were analyzed with nonparametric methods. Results: A total of 43/56 responses (response rate = 76.8%) were received. Only 37.2% of providers felt prepared to work mass gatherings before the training, and 60.5% stated that their previous education did not prepare them for large-venue challenges. After the training program, novice EMTs were significantly associated with increased knowledge of large-venue EMS procedures (P = 0.0170), higher proficiency using extrication equipment (P = 0.0248), increased patient care skills (P = 0.0438), and both increased confidence working events (P = 0.0002) and better teamwork during patient encounters (P = 0.0001). The majority of EMTs reported the program as beneficial. Conclusion: Upon hire, EMS providers felt unprepared to work large-venue EMS. The analyses demonstrated that this training program improved select large-venue emergency skills for prehospital providers and may fill a gap in the education system regarding mass gathering medicine.

Mass Gathering Medicine in Soccer Leagues: A Review and Creation of the SALEM Tool

Potential risks for public health incidents, outbreaks, and casualties are inferred at association football events, especially if event organizers have not taken appropriate preventative measures. This review explores the potential risks imposed by mass gathering (MG) football events, with particular emphasis on tools and methodologies to manage the risks of football MG events. Effective planning and implementation of MGs along with the mitigation of risks related to people’s health require special attention to all potential threats, especially in frequent and recurring MG events such as football leagues. The well-being of all participants can be compromised by ignoring a single risk. Healthcare systems should cooperate with all stakeholders and organizations who are involved in MG management and response. Provision of services during MG or a disaster must be performed by trained personnel or entities that have full access to available resources in accessible publicly known locations at the MG event site. Several MG assessment tools were developed worldwide; however, to adapt to the Saudi context, SALEM tool was developed to provide a guide for MG planning and assessment. SALEM assesses the risks of MG events with scores that help to categorize the risk of MG events by offering recommendations for required resources.

Major incident management and triage

The management of major incidents and disasters is complex and requires the effective engagement and integration of a great number of responding organizations and individuals. This section offers an introduction to the subject, clarifying the key principles and giving some basic organizational information. The chapter classifies major incidents, defines the specific phases, the process of declaring a major incident, how to set the scene (including command structures and responsibilities), explains the role of the health services, the roles of the other emergency services and the armed forces. It covers radio voice procedure and approved communication shorthand, triage, trauma scoring, and mass gathering medicine.

Use of Predictive Modeling to Plan for Special Event Medical Care During Mass Gathering Events

ABSTRACTObjectives:In 2010, South Africa (SA) hosted the Fédération Internationale de Football Association (FIFA) World Cup (soccer). Emergency Medical Services (EMS) used the SA mass gathering medicine (MGM) resource model to predict resource allocation. This study analyzed data from the World Cup and compared them with the resource allocation predicted by the SA mass gathering model.Methods:Prospectively, data were collected from patient contacts at 9 venues across the Western Cape province of South Africa. Required resources were based on the number of patients seeking basic life support (BLS), intermediate life support (ILS), and advanced life support (ALS). Overall patient presentation rates (PPRs) and transport to hospital rates (TTHRs) were also calculated.Results:BLS services were required for 78.4% (n = 1279) of patients and were consistently overestimated using the SA mass gathering model. ILS services were required for 14.0% (n = 228), and ALS services were required for 3.1% (n = 51) of patients. Both ILS and ALS services, and TTHR were underestimated at smaller venues.Conclusions:The MGM predictive model overestimated BLS requirements and inconsistently predicted ILS and ALS requirements. MGM resource models, which are heavily based on predicted attendance levels, have inherent limitations, which may be improved by using research-based outcomes.